Senior Machine Learning Engineer - Credit modelling

Overview

In this role you lead the productionization of consumer credit underwriting models, turning data-science experiments into reliable, scalable production pipelines. You own the ML infrastructure and deployment, working with a cross‐functional team across Stockholm, Milan and Warsaw to grow Klarna's in‐house data science capability in credit risk and fraud. You'll build and maintain the end-to-end ML pipeline, from feature computation to retraining and monitoring, delivering robust models in production. This is a hands-on engineering role focused on delivering impactful, scalable solutions in a fast‐paced fintech environment.

Responsabilità

• Write production Python to train credit underwriting models (tree-based models)
• Build and maintain ML pipeline infrastructure from feature computation through retraining and monitoring
• Deploy models into production using tools like AWS SageMaker and ensure ongoing operation
• Troubleshoot end-to-end pipeline issues and own the lifecycle of deployed models
• Scale Klarna's in-house data science capability as the credit risk and fraud teams grow

Requisiti fondamentali

• Production Python for ML: training models, not just prototyping
• Experience taking ML models/pipelines from development to production and owning them
• Hands-on with tree-based models
• Deployment and operation of ML workloads on AWS or equivalent cloud
• Understanding full SDLC and applying it to ML code
• Collaboration with data scientists to build reliable pipelines
• English communication (spoken and written)
• Clear communication
• Cross-functional collaboration
• Ownership and accountability
• Python for ML (production)
• Tree-based models
• AWS SageMaker or equivalent cloud deployment